Back to Search
Journal ArticleUnknown

Homology Modeling and Probable Active Site Cavity Prediction of Uncharacterized Arsenate Reductase in Bacterial spp.

Author Affiliations
Bangladesh Council of Scientific and Industrial Research, Konkuk University, Johns Hopkins University, Aarhus University, ...
Published InApplied Biochemistry and Biotechnology
Year2020
Citations18

Abstract

The arsC gene-encoded arsenate reductase is a vital catalytic enzyme for remediation of environmental arsenic (As). Microorganisms containing the arsC gene can convert pentavalent arsenate (As[V]) to trivalent arsenite (As[III]) to be either retained in the bacterial cell or released into the air. The molecular mechanism governing this process is unknown. Here we present an in silico model of the enzyme to describe their probable active site cavities using SCFBio servers. We retrieved the amino acid sequence of bacterial arsenate reductase enzymes in FASTA format from the NCBI database. Enzyme structure was predicted using the I-TASSER server and visualized using PyMOL tools. The ProSA and the PROCHECK servers were used to evaluate the overall significance of the predicted model. Accordingly,…
View at Publisher

BORR does not host full-text PDFs. The button above takes you to the original publisher.